J. Medina

发表

Simulations of Cerebellar Motor Learning: Computational Analysis of Plasticity at the Mossy Fiber to Deep Nucleus Synapse

M. Mauk, J. Medina, 1999, The Journal of Neuroscience.

A Mechanism for Savings in the Cerebellum

M. Mauk, J. Medina, K. S. Garcia, 2001, The Journal of Neuroscience.

Parallels between cerebellum- and amygdala-dependent conditioning

Joseph E LeDoux, M. Mauk, J. Medina, 2002, Nature Reviews Neuroscience.

Mechanisms of cerebellar learning suggested by eyelid conditioning

M. Mauk, T. Ohyama, J. Medina, 2000, Current Opinion in Neurobiology.

Instructive signals for motor learning from visual cortical area MT

Megan R. Carey, S. Lisberger, J. Medina, 2005, Nature Neuroscience.

Trying to Understand the Cerebellum Well Enough to Build One

M. Mauk, T. Ohyama, J. Medina, 2002, Annals of the New York Academy of Sciences.

Cerebellar function: Coordination, learning or timing?

M. Mauk, T. Ohyama, J. Medina, 2000, Current Biology.

Learning-Induced Plasticity in Deep Cerebellar Nucleus

M. Mauk, T. Ohyama, J. Medina, 2006, The Journal of Neuroscience.

Climbing fibers encode a temporal-difference prediction error during cerebellar learning in mice

Shogo Ohmae, J. Medina, Shogo Ohmae, 2015, Nature Neuroscience.

Cerebellar granule cells acquire a widespread predictive feedback signal during motor learning

Ben Deverett, Talmo D. Pereira, Liam Paninski, 2017, Nature Neuroscience.

Inhibition of climbing fibres is a signal for the extinction of conditioned eyelid responses

M. Mauk, J. Medina, W. L. Nores, 2002, Nature.

Bidirectional short-term plasticity during single-trial learning of cerebellar-driven eyelid movements in mice

J. Medina, Farzaneh Najafi, 2020, Neurobiology of Learning and Memory.

Timing Mechanisms in the Cerebellum: Testing Predictions of a Large-Scale Computer Simulation

Javier F. Medina, Michael D. Mauk, M. Mauk, 2000, The Journal of Neuroscience.

Links from complex spikes to local plasticity and motor learning in the cerebellum of awake-behaving monkeys

Stephen G. Lisberger, Javier F. Medina, S. Lisberger, 2008, Nature Neuroscience.

Dynamic modulation of activity in cerebellar nuclei neurons during pavlovian eyeblink conditioning in mice

Henk-Jan Boele, Chris I De Zeeuw, Shane A. Heiney, 2017, eLife.

Signal, Noise, and Variation in Neural and Sensory-Motor Latency

Stephen G. Lisberger, Javier F. Medina, Mati Joshua, 2016, Neuron.

Precise Control of Movement Kinematics by Optogenetic Inhibition of Purkinje Cell Activity

George J Augustine, Shane A. Heiney, Jinsook Kim, 2014, The Journal of Neuroscience.

Cerebellar-Dependent Expression of Motor Learning during Eyeblink Conditioning in Head-Fixed Mice

Selmaan N. Chettih, Shane A. Heiney, Margot P. Wohl, 2014, The Journal of Neuroscience.

Mechanisms for motor timing in the cerebellar cortex

G. Hesslow, J. Medina, F. Johansson, 2016, Current Opinion in Behavioral Sciences.

Encoding and decoding of learned smooth-pursuit eye movements in the floccular complex of the monkey cerebellum.

Stephen G Lisberger, S. Lisberger, J. Medina, 2009, Journal of neurophysiology.

S288c; other variables as above. For Htg competitions, t-tests were performed to determine the significance of differences in means. Percentage growth deficiency was calculated as 100(logC - logB)/(logC - logA), where A corresponds to c.f.u. ml

M. Mauk, J. Medina, W. L. Nores, 2002 .

Variation, Signal, and Noise in Cerebellar Sensory–Motor Processing for Smooth-Pursuit Eye Movements

S. Lisberger, J. Medina, 2007, The Journal of Neuroscience.

Monkey Cerebellum Eye Movements in the Floccular Complex of the Encoding and Decoding of Learned Smooth-Pursuit

Laurentiu S. Popa, Kris S. Chaisanguanthum, W. Bialek, 2015 .

Diversity of Neural Responses in the Brainstem during Smooth Pursuit Eye Movements Constrains the Circuit Mechanisms of Neural Integration

Stephen G Lisberger, Mati Joshua, S. Lisberger, 2013, The Journal of Neuroscience.

Coding of stimulus strength via analog calcium signals in Purkinje cell dendrites of awake mice

Farzaneh Najafi, Andrea Giovannucci, S. Wang, 2014, eLife.

Beyond “all-or-nothing” climbing fibers: graded representation of teaching signals in Purkinje cells

Javier F. Medina, Farzaneh Najafi, J. Medina, 2013, Front. Neural Circuits.

Acquisition of Neural Learning in Cerebellum and Cerebral Cortex for Smooth Pursuit Eye Movements

S. Lisberger, L. Frank, J. Medina, 2011, The Journal of Neuroscience.

Immediate and long-term effects of transcranial direct-current stimulation in the mouse primary somatosensory cortex

José M. Ausín, J. Delgado-García, G. Cheron, 2020, bioRxiv.

The Representation of Time for Motor Learning

Stephen G. Lisberger, Javier F. Medina, Megan R. Carey, 2005, Neuron.

The Neural Code for Motor Control in the Cerebellum and Oculomotor Brainstem†‡

Mati Joshua, William Bialek, Stephen G. Lisberger, 2014, eNeuro.

A Mathematical Model of the Cerebellar-Olivary System II: Motor Adaptation Through Systematic Disruption of Climbing Fiber Equilibrium

Garrett T. Kenyon, Javier F. Medina, Michael D. Mauk, 1998, Journal of Computational Neuroscience.

A Mathematical Model of the Cerebellar-Olivary System I: Self-Regulating Equilibrium of Climbing Fiber Activity

Garrett T. Kenyon, Javier F. Medina, Michael D. Mauk, 1998, Journal of Computational Neuroscience.

Computer simulation of cerebellar information processing

Javier F. Medina, Michael D. Mauk, M. Mauk, 2000, Nature Neuroscience.

Relative Contributions of the Cerebellar Cortex and Cerebellar Nucleus to Eyelid Conditioning

M. Mauk, J. Medina, W. L. Nores, 2002 .

Does Cerebellar LTD Mediate Motor Learning? Toward a Resolution without a Smoking Gun

Michael D Mauk, M. Mauk, J. Medina, 1998, Neuron.

How and why neural and motor variation are related

Stephen G Lisberger, S. Lisberger, J. Medina, 2015, Current Opinion in Neurobiology.

Immediate and after effects of transcranial direct-current stimulation in the mouse primary somatosensory cortex

José M. Ausín, J. Delgado-García, G. Cheron, 2021, Scientific Reports.

Dendritic Inhibition by Shh Signaling-Dependent Stellate Cell Pool Is Critical for Motor Learning

Shane A. Heiney, J. Medina, S. Heiney, 2021, The Journal of Neuroscience.

Chromatin remodeling inactivates activity genes and regulates neural coding

Shane A. Heiney, T. Holy, J. Medina, 2016, Science.

Deleting Mecp2 from the cerebellum rather than its neuronal subtypes causes a delay in motor learning in mice

H. Zoghbi, J. Medina, Shogo Ohmae, 2021, eLife.

Deleting Mecp2 from the entire cerebellum rather than its neuronal subtypes causes a delay in motor learning in mice

H. Zoghbi, J. Medina, Shogo Ohmae, 2020, bioRxiv.

The multiple roles of Purkinje cells in sensori-motor calibration: to predict, teach and command

J. Medina, Javier F Medina, 2011, Current Opinion in Neurobiology.

Sensory-Driven Enhancement of Calcium Signals in Individual Purkinje Cell Dendrites of Awake Mice

Javier F. Medina, Farzaneh Najafi, Andrea Giovannucci, 2014, Cell reports.

Single-Unit Extracellular Recording from the Cerebellum During Eyeblink Conditioning in Head-Fixed Mice.

Shogo Ohmae, Javier F. Medina, Shane A. Heiney, 2018, Neuromethods.

Adaptive Timing of Motor Output in the Mouse: The Role of Movement Oscillations in Eyelid Conditioning

Javier F. Medina, Selmaan N. Chettih, Samuel D. McDougle, 2011, Front. Integr. Neurosci..

Cerebellar Involvement in Motor Learning

M. Mauk, J. Medina, P. M. Steele, 1997 .

A recurrent circuit links antagonistic cerebellar modules during associative motor learning

Shane A. Heiney, J. Medina, S. Heiney, 2021, bioRxiv.

Neuroscience: Spikes timed through inhibition

J. Medina, K. Khodakhah, 2012, Nature.

Using Animal Models to Improve the Design and Application of Transcranial Electrical Stimulation in Humans

Javier F. Medina, Javier Márquez-Ruiz, Carlos A. Sánchez-León, 2018, Current Behavioral Neuroscience Reports.

A cerebello-olivary signal for negative prediction error is sufficient to cause extinction of associative motor learning

Shogo Ohmae, Javier F Medina, Olivia A Kim, 2020, Nature Neuroscience.

Computational Principles of Supervised Learning in the Cerebellum.

Jennifer L Raymond, Javier F Medina, J. Raymond, 2018, Annual review of neuroscience.

Somatodendritic orientation determines tDCS-induced neuromodulation of Purkinje cell activity in awake mice

J. Medina, J. Márquez-Ruiz, Á. Sánchez-López, 2023, bioRxiv.

Using Genetic Mutations to Study the Neural Basis of Behavior

M. Mauk, J. Medina, W. L. Nores, 1998, Cell.

Teaching the cerebellum about reward

J. Medina, 2019, Nature Neuroscience.

Action-based organization of a cerebellar module specialized for predictive control of multiple body parts

Shane A. Heiney, J. Medina, S. Heiney, 2021, Neuron.

in the deep cerebellar nuclei Calcium-based dendritic excitability and its regulation

S. Wang, J. Medina, Andrea Giovannucci, 2015 .

Computational Principles of Supervised Learning in the Cerebellum.

J. Raymond, J. Medina, 2018, Annual review of neuroscience.

Teaching the cerebellum about reward

Javier F. Medina, J. Medina, 2019, Nature Neuroscience.